Instructions to use jkrukowski/whisper-tiny-mlx-safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jkrukowski/whisper-tiny-mlx-safetensors with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-tiny-mlx-safetensors jkrukowski/whisper-tiny-mlx-safetensors
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
whisper-tiny-mlx-safetensors
This model was converted to safetensors format from mlx-community/whisper-tiny-mlx.
The weights are split between the encoder (encoder.safetensors) and the decoder (decoder.safetensors).
Use with mlx-swift
import MLX
import MLXNN
let encoderUrl = URL(fileURLWithPath: "path/to/whisper-tiny-mlx-safetensors/encoder.safetensors")
let arrays = try MLX.loadArrays(url: encoderUrl)
let encoderParams = ModuleParameters.unflattened(arrays)
// Create the model and load the parameters
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